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  1. Stackups
  2. Application & Data
  3. Databases
  4. Big Data As A Service
  5. Amazon Redshift vs Osmos Data

Amazon Redshift vs Osmos Data

OverviewComparisonAlternatives

Overview

Amazon Redshift
Amazon Redshift
Stacks1.5K
Followers1.4K
Votes108
Osmos Data
Osmos Data
Stacks1
Followers2
Votes0

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Detailed Comparison

Amazon Redshift
Amazon Redshift
Osmos Data
Osmos Data

It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

It is a low-code External Data Platform that helps companies scale their data ingestion while reducing costs and errors. Bring in fresher, cleaner customer and partner data with self-serve data uploaders and no-code ETL data pipelines.

Optimized for Data Warehousing- It uses columnar storage, data compression, and zone maps to reduce the amount of IO needed to perform queries. Redshift has a massively parallel processing (MPP) architecture, parallelizing and distributing SQL operations to take advantage of all available resources.;Scalable- With a few clicks of the AWS Management Console or a simple API call, you can easily scale the number of nodes in your data warehouse up or down as your performance or capacity needs change.;No Up-Front Costs- You pay only for the resources you provision. You can choose On-Demand pricing with no up-front costs or long-term commitments, or obtain significantly discounted rates with Reserved Instance pricing.;Fault Tolerant- Amazon Redshift has multiple features that enhance the reliability of your data warehouse cluster. All data written to a node in your cluster is automatically replicated to other nodes within the cluster and all data is continuously backed up to Amazon S3.;SQL - Amazon Redshift is a SQL data warehouse and uses industry standard ODBC and JDBC connections and Postgres drivers.;Isolation - Amazon Redshift enables you to configure firewall rules to control network access to your data warehouse cluster.;Encryption – With just a couple of parameter settings, you can set up Amazon Redshift to use SSL to secure data in transit and hardware-acccelerated AES-256 encryption for data at rest.<br>
No-code data transformation; User-friendly; Designed to scale; Handles billions of records; Pre-built connectors; APIs; Error monitoring and alerts; Enterprise-grade security
Statistics
Stacks
1.5K
Stacks
1
Followers
1.4K
Followers
2
Votes
108
Votes
0
Pros & Cons
Pros
  • 41
    Data Warehousing
  • 27
    Scalable
  • 17
    SQL
  • 14
    Backed by Amazon
  • 5
    Encryption
No community feedback yet
Integrations
SQLite
SQLite
MySQL
MySQL
Oracle PL/SQL
Oracle PL/SQL
NetSuite
NetSuite
Google Drive
Google Drive
PostgreSQL
PostgreSQL
Snowflake
Snowflake
MySQL
MySQL
Google Cloud Storage
Google Cloud Storage
Salesforce
Salesforce
Google BigQuery
Google BigQuery
Google Sheets
Google Sheets
Oracle
Oracle

What are some alternatives to Amazon Redshift, Osmos Data?

Blazor

Blazor

Blazor is a .NET web framework that runs in any browser. You author Blazor apps using C#/Razor and HTML.

Stamplay

Stamplay

The API-based development platform enabling developers to do 80% of the job in 1% of the time thanks to: out of the box APIs for users and data, one-click integration with any API, scalable infrastructure and SDKs. Build Rome in a day.

Google BigQuery

Google BigQuery

Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.

Qubole

Qubole

Qubole is a cloud based service that makes big data easy for analysts and data engineers.

Amazon EMR

Amazon EMR

It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.

Altiscale

Altiscale

we run Apache Hadoop for you. We not only deploy Hadoop, we monitor, manage, fix, and update it for you. Then we take it a step further: We monitor your jobs, notify you when something’s wrong with them, and can help with tuning.

Snowflake

Snowflake

Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.

Kumologica

Kumologica

It is the first low-code development solution that run your integration and automation services serverlessly on any cloud. It provides drag and drop visual designer and low code approach to ensure the greatest speed and flexibility to support a wide range of integrations compatible with most of the platforms and cloud providers.

Stitch

Stitch

Stitch is a simple, powerful ETL service built for software developers. Stitch evolved out of RJMetrics, a widely used business intelligence platform. When RJMetrics was acquired by Magento in 2016, Stitch was launched as its own company.

Azure Synapse

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

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